A Low-complexity Successive Detection Method for OFDM Systems over Doubly Selective Channels

For OFDM systems, the time variation of a multipath channel results in inter-carrier interference (ICI). It leads to performance degradations. In reducing the problem, current successive detection methods cost very high computationalcomplexities. Among them, the minimum-mean squareerror successive d...

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Published inJournal of Communications Software and Systems Vol. 4; no. 4; pp. 245 - 253
Main Authors Chen, Chih-Liang, Chen, Sau-Gee
Format Journal Article Paper
LanguageEnglish
Published Udruga za komunikacijske i informacijske tehnologije, Fakultet elektrotehnike, strojarstva i brodogradnje, Sveučilište u Splitu 01.12.2008
Croatian Communications and Information Society (CCIS)
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Summary:For OFDM systems, the time variation of a multipath channel results in inter-carrier interference (ICI). It leads to performance degradations. In reducing the problem, current successive detection methods cost very high computationalcomplexities. Among them, the minimum-mean squareerror successive detection (MMSE-SD) method has the best performance. This work proposes an improved data detection method with low complexity by integrating the techniques of Newton’s iterative matrix inversion method and the MMSE-SD method which considers the effects of signal-to-interference-plusnoise ratio (SINR). In order to efficiently integrate Newton’s and MMSE-SD method, we develop an effective scheme with low complexity for generating the initial values required by Newton’s method. Based on the new initial value scheme, we are able tosimplify the criterion of maximum SINR determination to an equivalent one with lower complexity. As a result, the proposed algorithm has a much lower complexity of O(N2) than O(N3) of the MMSE-SD algorithm, where N is the number of subcarriers. Moreover, simulation results in different channel conditions show that performances of the proposed MMSE-SD method are very close to the MMSE-SD method.
Bibliography:180534
ISSN:1845-6421
1846-6079
DOI:10.24138/jcomss.v4i4.214